Triple
T1512856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Bothnia |
E32052
|
entity |
| Predicate | iceCoverDuration |
P4991
|
FINISHED |
| Object | several months each winter |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: several months each winter | Statement: [Gulf of Bothnia, iceCoverDuration, several months each winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceCoverDuration Context triple: [Gulf of Bothnia, iceCoverDuration, several months each winter]
-
A.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
B.
iceSheetCoverage
Indicates the extent or proportion of an area that is covered by an ice sheet.
-
C.
hasSeaIce
Indicates that one entity possesses, contains, or is covered by sea ice in relation to another context or location.
-
D.
seaIceMinimumExtent
Indicates the smallest recorded spatial coverage of sea ice over a specified period or region.
-
E.
hasSeaIceExtent
chosen
Indicates that a specified area or region possesses a measurable amount or coverage of sea ice over a given space or time.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.